[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms
Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
Multimodal emotion recognition using a hierarchical fusion convolutional neural network
Y Zhang, C Cheng, Y Zhang - IEEE access, 2021 - ieeexplore.ieee.org
In recent years, deep learning has been increasingly used in the field of multimodal emotion
recognition in conjunction with electroencephalogram. Considering the complexity of …
recognition in conjunction with electroencephalogram. Considering the complexity of …
Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources () in our () daily lives () brings up new
alternatives () for emotion recognition in several domains including e-health, e-learning …
alternatives () for emotion recognition in several domains including e-health, e-learning …
Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review
Y Cai, X Li, J Li - Sensors, 2023 - mdpi.com
In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …
made it possible to endow machines/computers with the ability of emotion understanding …
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2023 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human-computer interaction. The expression of human emotion depends on …
applications to human-computer interaction. The expression of human emotion depends on …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
A novel spatio-temporal convolutional neural framework for multimodal emotion recognition
Proposing a practical method for high-performance emotion recognition could facilitate
human–computer interaction. Among existing methods, deep learning techniques have …
human–computer interaction. Among existing methods, deep learning techniques have …
Multimodal emotion recognition based on facial expressions, speech, and EEG
Goal: As an essential human-machine interactive task, emotion recognition has become an
emerging area over the decades. Although previous attempts to classify emotions have …
emerging area over the decades. Although previous attempts to classify emotions have …
Multimodal emotion recognition using deep learning
SMSA Abdullah, SYA Ameen, MAM Sadeeq… - Journal of Applied …, 2021 - jastt.org
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …
status to provide a seamless human-computer interface. This would make it possible for …